AUTHOREA
Log in Sign Up Browse Preprints

loading page

Constructing a Large-scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates
  • +7
  • savinay nagendra ,
  • srikanth banagere manjunatha ,
  • daniel kifer ,
  • te pei ,
  • weixin li ,
  • kathryn lawson ,
  • hien nguyen ,
  • tong qiu ,
  • sarah tran ,
  • chaopeng shen
savinay nagendra
The Pennsylvania State University, The Pennsylvania State University

Corresponding Author:[email protected]

Author Profile
srikanth banagere manjunatha
Author Profile
daniel kifer
Author Profile
te pei
Author Profile
weixin li
Author Profile
kathryn lawson
Author Profile
hien nguyen
Author Profile
tong qiu
Author Profile
sarah tran
Author Profile
chaopeng shen
Author Profile

Abstract

We use the landslide inventory database provided by the United States Geological Survey. USGS maintains a database of landslide reports with approximate locations and times, but no images. This is the most extensive data of its kind. We extract satellite images from Google Earth by using this inventory.

Peer review status:Published

2022Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing volume 15 on pages 4349-4370. 10.1109/JSTARS.2022.3177025